Senior Manager,  Data Science, B2B

About the Team

Leads the evolution of Dow Jones’ B2B data science and analytics capabilities in support of our B2B business function.

Reporting to the Vice President of B2B Marketing Data Science, the Senior Manager of B2B Marketing Analytics is responsible for driving data-driven strategies that optimize opportunity generation, accelerate revenue growth, improve acquisition , and enhance retention performance.

The Senior Manager will design and implement advanced analytics frameworks, robust revenue measurement methodologies that inform capital allocation across demand generation, account-based marketing (ABM), pricing, and customer lifecycle initiatives.

Three days a week (typically Monday, Tuesday, and Thursday) in our Midtown Manhattan office is required.

• Strategic Leadership: Develop and execute analytics projects driving key insights that drive pipeline growth and revenue

• Build Capabilities and Drive Insights: Support development of  propensity models, attribution models, market mix models and customer segmentation models to drive insights that facilitate business planning, forecasting and optimization

• Executive Reporting and Opportunity Analysis: Develop executive level reports in BI tools (Looker , Tableau) to develop E2E customer journey insights and identify opportunity areas to drive future growth

• Data Story Telling:  Articulate clear, actionable insights derived from model results and effectively communicate complex technical concepts to a non-technical audience

• Data Infrastructure and Technology: Collaborate with data engineering teams to establish and maintain robust data infrastructure, ensuring data quality, accessibility, and security. Evaluate and implement appropriate data science tools, platforms, and technologies to streamline processes and enhance data-driven marketing

• Stakeholder Collaboration: Engage proactively with cross-functional teams, including marketing, sales, product development, and finance, to comprehend their specific business requirements and translate them into effective, data-driven solutions

• The willingness to work in our Midtown Manhattan office 3 days each week

• 9+ years of experience in marketing analytics and/or data science

• Degree in a quantitative field such as Data Science, Statistics, Mathematics, or related disciplines; or equivalent experience 

• Experience supporting B2B or enterprise go-to-market models, ideally within media, information services, SaaS, or subscription-based businesses

• Strong expertise in advanced analytics, predictive modeling, forecasting, and funnel analysis

• Understanding of B2B marketing and sales funnels, account-based marketing (ABM), CRM systems, and pipeline management

• Proficiency in BI tools, Python, R, SQL, and experience working with large-scale, cloud-based data environments

• Strong commercial acumen and ability to communicate complex analytics to non-technical, executive stakeholders

• Proven ability to influence strategic decisions through data-driven insights

• Familiarity with marketing automation platforms, CRM platforms (e.g Salesforce), and digital analytics tools is a plus

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• Comprehensive Healthcare Plans

• Paid Time Off

• Retirement Plans

• Comprehensive Insurance Plans

• Lifestyle programs & Wellness Resources

• Education Benefits

• Family Care Benefits & Caregiving Support

• Commuter Transit Program

• Subscription Discounts

• Employee Referral Program

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We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.

For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.